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2D Gaussian Splatting for Geometrically Accurate Radiance Fields

Authors:

Andreas Geiger,

Shenghua GaoAuthors Info & Claims

SIGGRAPH '24: ACM SIGGRAPH 2024 Conference Papers

Article No.: 32, Pages 1 - 11

https://doi.org/10.1145/3641519.3657428

Published: 13 July 2024 Publication History

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Abstract

3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction, achieving high quality novel view synthesis and fast rendering speed. However, 3DGS fails to accurately represent surfaces due to the multi-view inconsistent nature of 3D Gaussians. We present 2D Gaussian Splatting (2DGS), a novel approach to model and reconstruct geometrically accurate radiance fields from multi-view images. Our key idea is to collapse the 3D volume into a set of 2D oriented planar Gaussian disks. Unlike 3D Gaussians, 2D Gaussians provide view-consistent geometry while modeling surfaces intrinsically. To accurately recover thin surfaces and achieve stable optimization, we introduce a perspective-accurate 2D splatting process utilizing ray-splat intersection and rasterization. Additionally, we incorporate depth distortion and normal consistency terms to further enhance the quality of the reconstructions. We demonstrate that our differentiable renderer allows for noise-free and detailed geometry reconstruction while maintaining competitive appearance quality, fast training speed, and real-time rendering. Project page at https://surfsplatting.github.io.

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Index Terms

2D Gaussian Splatting for Geometrically Accurate Radiance Fields
1. Computing methodologies

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cover image ACM Conferences

SIGGRAPH '24: ACM SIGGRAPH 2024 Conference Papers

July 2024

1106 pages

ISBN:9798400705250

DOI:10.1145/3641519

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Published: 13 July 2024

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